|Publication number||US6219800 B1|
|Application number||US 09/100,606|
|Publication date||Apr 17, 2001|
|Filing date||Jun 19, 1998|
|Priority date||Jun 19, 1998|
|Publication number||09100606, 100606, US 6219800 B1, US 6219800B1, US-B1-6219800, US6219800 B1, US6219800B1|
|Inventors||Theodore Johnson, Dennis Shasha|
|Original Assignee||At&T Corp.|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (3), Non-Patent Citations (5), Referenced by (32), Classifications (10), Legal Events (4)|
|External Links: USPTO, USPTO Assignment, Espacenet|
The present invention relates to fault-tolerant disk storage methods and systems.
The RAID-5 standard describes a fault-tolerant architecture for storing data on disk storage devices. A plurality of disk drives are arranged into a storage array. Data is stored in the array in units termed stripes. Each stripe is partitioned into sub-units termed blocks, with one block of each stripe stored on one disk drive in the array. The storage array is protected against single-disk drive failures by assigning one block in each stripe to be the parity block for the stripe. RAID-5 provides excellent performance for large consecutive reads and batch loads, because each block in a stripe may be accessed in parallel with each other block. However, RAID-5 storage arrays have poor performance for the small updates typically found in transaction processing, because the parity block must be updated after even a small update.
Several schemes have been proposed to overcome this performance problem. For example, the scheme proposed by Savage and Wilkes (“AFRAID—A Frequently Redundant Array of Independent Disks”, by Stefan Savage and John Wilkes, 1996 USENIX Technical Conference, Jan. 22-26, 1996) provides a greatly improved level of performance for RAID-5 arrays. This scheme defers the update to the parity block to periods in which the disk drive is idle, a situation which occurs frequently. However, this scheme also increases the vulnerability of the array to single disk drive failures, because of the likelihood that recently updated disk blocks will be lost when a disk drive fails.
The scheme proposed by Stodolsky et al. (“Parity Logging—Overcoming the Small Write Problem in Redundant Disk Arrays”, by Daniel Stodolsky, Garth Gibson and Mark Holland, IEEE 1993, pp. 64-75) generates parity updates and logs them, rather than updating the parity immediately. When the log buffer is full, the parity updates are all written in one large update. This scheme preserves the reliability of the storage array, but only increases performance to the extent that the logging overhead plus the update overhead is less than the other overhead.
While the increased vulnerability of the Savage—Wilkes scheme may be tolerated in some applications, it is not acceptable in other applications, such as databases. A need arises for a technique which provides improved performance over standard RAID-5 without increasing vulnerability to single-disk drive failures.
The present invention is a storage system, and method of operation thereof, which provides improved performance over standard RAID-5 without increasing vulnerability to single-disk drive failures. The storage system comprises a processor and a plurality of data storage devices, coupled to the processor, operable to store a plurality of data stripes, each data stripe comprising a plurality of data blocks and a parity block, each data storage device operable to store one data block or the parity block of each data stripe. The storage system ensures that a parity-consistent image of a data stripe can be constructed in spite of single disk failures.
When an update to a data block in the data stripe is received, an image is stored of the data block as it was when the current parity-consistent image of the stripe was generated. The data block is updated and an image of the updated data block is stored. When a failure of one of the plurality of data storage devices is detected, the contents of the block on the failed device are generated. The parity block of a non-parity-consistent or dirty stripe is generated by computing a bitwise exclusive-OR of the image of each updated data block as it was when the parity-consistent image was generated, and the current image of each updated data block, to form an intermediate result. The parity block of the data stripe is read and a bitwise exclusive-OR of the intermediate result and the parity block is generated.
The generated parity block is written and a parity rebuild is performed on the data stripe using the new parity block.
The details of the present invention, both as to its structure and operation, can best be understood by referring to the accompanying drawings, in which like reference numbers and designations refer to like elements.
FIG. 1 is a block diagram of an exemplary prior art RAID-5 disk array.
FIG. 2 is a data flow diagram of an update to a parity block, in the array of FIG. 1.
FIG. 3 is a data flow diagram of a cleaning update operation.
FIG. 4 is a data flow diagram of a parity rebuild operation.
FIG. 5a is a block diagram of a storage system, in accordance with the present invention.
FIG. 5b is a more detailed block diagram of the storage system of FIG. 5a.
FIG. 5c is a flow diagram of a block updating process, implemented in the storage system of FIG. 5a.
FIG. 5d is a flow diagram of a log-assisted rebuild process, implemented in the system of FIG. 5a.
A prior art RAID-5 disk array is shown in FIG. 1. The array includes a plurality of disk drives 100A-P. As shown, stripes of data, such as stripe 102 or stripe 104, are stored across all the disk drives in the array. Each disk drive stores one sub-unit (block) of each stripe. For example, disk drive 100A stores one block from stripe 102, block 102-1, and one block from stripe 104, block 104-P. Within each stripe, one block stores the parity data and the remaining blocks store the actual stored data. For example, in stripe 102, blocks 102-1 to 102-N store the actual data and block 102-P stores the parity data. Likewise, in stripe 104, blocks 104-1 to 104-N store the actual data and block 104-P stores the parity data. As shown, it is not necessary for the parity blocks of all stripes to be stored on the same disk drive, the only requirement is that within each stripe, each block is stored on a different disk drive.
This arrangement provides RAID-5 with complete tolerance to single-disk drive failures. In addition, RAID-5 has excellent performance for large consecutive reads and batch loads, because each block of a stripe can be accessed in parallel. When an entire stripe is updated, as in a large batch load, the parity block must be updated, but the overhead incurred is small compared to the amount of data being written. However, RAID-5 has poor performance for the small updates that are typical of transaction processing, due to the performance costs of maintaining the parity block. When a small update occurs, the parity block must also be updated. The overhead incurred is quite large compared to the amount of data being written.
In order to update the parity block when a small update occurs, two block reads and two block writes are required, as shown in FIG. 2. In order to update block B 102-B, the old contents of block B 106 are read (first read). The new contents of block B 108 are written to block B 102-B (first write) and are bitwise exclusive-ORed 109 (XOR) with old block B 106. The result of the XOR is difference block 110. The old contents of the parity block 112 are read (second read) and are bitwise XOR'd 113 with difference block 110 to form new contents of the parity block 114. The new contents of the parity block 114 are then written into parity block 102-P (second write). Thus, two block read, two block write and two block XOR operations must be performed just to update the contents of one data block. By contrast, a non-RAID storage system would require just one block write to update block B.
A standard RAID-5 system can recover the contents of a failed data block as long as the contents of the data blocks in a stripe are kept consistent with the contents of the parity block. Ensuring this consistency causes the poor performance of standard RAID-5 for small updates. The scheme proposed by Savage and Wilkes permits temporary inconsistency and will lose data in those stripes that are inconsistent when failure occurs. Savage and Wilkes simply write each block update to disk as needed, but defer the parity update until the storage array is idle. They use a bit vector to indicate which stripes are dirty, that is, in need of a parity update. The storage array updates those stripes that are indicated as dirty during its idle periods.
Cleaning a stripe means updating its parity block so that it is consistent with the other blocks in the stripe. The cleaning update operation is shown in FIG. 3. Each block in the stripe to be cleaned, except for the parity block, is read into memory and all the collected blocks are bitwise XOR'd. The result of the XOR operation becomes the new parity block. As shown in FIG. 3, the blocks in stripe 102, blocks 102-1 to 102-N, but not including parity block 102-P, are read into memory as blocks 116-1 to 116-N. The collected blocks are bitwise XOR'd as shown. The resulting new parity block 118 is then written to disk, becoming parity block 102-P.
Recovering a clean stripe from the failure of one of its blocks is termed the parity rebuild operation, and is shown in FIG. 4. Each functioning block in the stripe to be rebuilt, including the parity block, if it is functioning, is read into memory and all the collected blocks are bitwise XOR'd. The result of the XOR operation becomes the replacement for the failed-block. As shown in FIG. 4, block 2 102-2 of stripe 102 has failed. The blocks in stripe 102, blocks 102-1 to 102-N and 102-P, but not including failed block 102-2, are read into memory as blocks 120-1 to 120-N and 120-P. The collected blocks are bitwise XOR'd as shown. The resulting replacement block 2 122 is then written to disk, becoming replacement block 102-2. If block 102-2 failed because disk drive 100B failed, replacement block 102-2 is written to the disk drive that replaced disk drive 100B. If block 102-2 failed because the data area on disk drive 100B that was storing block 102-2 failed, then replacement block 102-2 is written back to the original drive 100B, but to a data area which replaces the failed data area.
The present invention provides improved performance and reliability. The present invention uses logged information to determine how to make a stripe consistent with its parity block. An exemplary storage system 500, according to the present invention, is shown in FIG. 5a. Storage system 500 includes computer system 501 and storage array 502. Computer system 501 includes central processing unit (CPU) 503, which is connected to memory 504, which includes program routines 505, non-volatile storage device 508, and log storage device 510. CPU 503 typically includes a microprocessor, for example, an INTEL PENTIUM processor, but may include a higher performance processor, such as is found in a mini-computer or mainframe computer, or in a multi-processor system. Memory 504 stores program routines 505 that are executed by CPU 503 and data that is used during program execution. The execution of program routines 505 by CPU 503 implements the functions that are necessary to carry out the present invention. Memory 504 may include semiconductor devices, such as random-access memory, read-only memory, erasable read-only memory, electrically erasable read-only memory, etc., magnetic devices, such as floppy disk drives, hard disk drives, tape drives, etc. and optical devices, such as compact disk memory, digital versatile disk memory, etc.
Non-volatile storage device 508 stores information that is used in the present invention, which must survive system failures or power-downs. Storage device 508 could also be volatile storage, perhaps battery backed-up, at some reduction in reliability. Log storage device 510 stores logged information that is used in the present invention, such as logged images of data blocks. Although shown in FIG. 5a as separate blocks, storage device 508 and storage device 510 are not required to be separate devices. The information contained in these devices may be stored in the same device.
In the embodiment shown in FIG. 5a, a processor executing program routines implements the functions necessary to carry out the present invention. However, other embodiments are possible. For example, a special purpose logic circuit, in which the functions necessary to carry out the present invention have been implemented in logic, could be used instead. In this embodiment, the functions performed by CPU 503 and program routines 505 would be performed instead by the special-purpose logic circuit. This logic circuit could be implemented using application-specific integrated circuits (ASIC), such as custom integrated circuits (IC), semi-custom ICs, or gate-arrays, etc., programmable devices, such as field-programmable gate-arrays or programmable logic devices, etc., standard integrated circuits, or discrete components.
A more detailed block diagram of the system of FIG. 5a is shown in FIG. 5b. The storage array includes a plurality of disk drives, such as disk drives 520A to 520N and 520P. A stripe s 522 consists of data blocks b1, . . . bn 522-1 to 522-N and parity block p 522-P. A data block denoted bi will be used as an exemplary data block, which may represent any data block b1, . . . bn 522-1 to 522-N. Associated with each data block bi of stripe s is a sequence number, denoted seq(bi), which is the number of write operations that have been performed on bi since the storage array was activated. For example, the sequence number of block b1 522-1 is seq(b1) and, similarly, the sequence number of parity block p 522-P is seq(p).
The image of the kth write to block bi is denoted bi k. Likewise, pk is the kth image written to the parity block. Therefore, bi seq(b i ) is the current contents of block bi and pseq(p) is the current contents of the parity block. For example, the current contents of block b1 522-1 is b1 seq(b 1 ) and the current contents of parity block p 522-P is pseq(p).
A parity-consistent image of stripe s, for a parity block pk, is a vector including the sequence numbers of the blocks in the stripe at the time parity block p was written for the kth time. As described above, a parity block is generated by bitwise exclusive-ORing the data blocks of the stripe. Thus, a parity-consistent image is simply a list of the sequence numbers of the blocks that were used to generate a parity block. A parity-consistent image of the parity block pk is denoted P(k) and P(k)=(k1, . . . , kn) such that pk was computed from b1 k 1 ⊕ . . . ⊕ bn k n , where ⊕ denotes the bitwise exclusive-OR operation. The ith element of P(k) is denoted by P(k)[i].
Although the parity-consistent image is useful in understanding the processing that is performed by the present invention, it is not necessary to actually generate a parity-consistent image. Instead, the mechanism used by the present invention is a dirty stripe bit vector. A dirty stripe bit vector 524 is a vector in which each bit corresponds to a data stripe. Each bit has two states which represent the state of the parity block of the corresponding data stripe. One state indicates that the parity block is clean, that is, consistent with the data blocks in the data stripe. The other state indicates that the parity block is dirty, that is, not consistent with the data blocks in the data stripe. Other equivalent mechanisms may also be used to represent the same information.
The dirty stripe bit vector is updated for a stripe at the time the parity block for the stripe is updated. The dirty stripe bit vector is stored in non-volatile storage device 508, which is a separate device from disk drives 520A to 520N and 520P. Storage device 508 will typically be a non-volatile storage device, that is, the data in storage device 508 should not be lost even if there is a system failure.
A block bi is clean if it has not been written to since the parity block was updated. When a parity block p is updated, it acquires a sequence number seq(p), and is denoted pseq(p). The sequence number that block bi had when the parity block p acquired sequence number seq(p) is the ith element of the parity-consistent image P for the current parity block pseq(p). This is denoted P(seq(p))[i]. Thus, a block bi is clean if seq(bi)=P(seq(p))[i]. In other words, if the sequence number of block bi (the number of times the block has been written to) is the same as the sequence number that the block had when the current parity block was generated, the block is clean.
A block bi is dirty if it has been written to since the parity block was updated. This is formalized as seq(bi)>P(seq(p))[i]. Note that the alternative seq(bi)<P(seq(p))[i] cannot occur because the parity block is updated after the data blocks.
The value of the block bi that was most recently written is denoted bi latest and, by definition, bi latest=bi seq(b i ). The block bi latest is logged to log storage device 510 whenever a block is updated. If a particular block is updated more than once, the new block value bi latest may replace the previously logged block value. For example, in FIG. 5a, block b2 has been updated, so block b2 latest 530-2 has been logged to log storage device 510.
The value of bi in the current parity-consistent image of s is denoted bi lastclean and, by definition, bi lastclean=bi P(seq(p)[i]). Recall that the block bi is cleaned when the parity block is updated to include seq(bi) as the ith component of the dirty stripe bit vector. The block bi lastclean is logged when an update is made to the clean block bi. For example, in FIG. 5a, clean block b2 has been logged to log storage device 510 to form log block 532-2, which contains b2 lastclean, which is the value of block b2 in the current dirty stripe bit vector of s, and has a sequence number of P(seq(p)). Log storage device 510 may be either a volatile storage device, such as a memory buffer or a non-volatile storage device, such as a disk drive or array. It may be the same device as non-volatile storage device 508, or it may be a separate device.
A stripe s is clean if every block in the stripe is clean. Otherwise, s is dirty. When an update occurs that makes a stripe s dirty, the bit corresponding to stripe s in the dirty stripe bit vector is set to indicate that the stripe is dirty.
A block updating process, according to the present invention, is shown in FIG. 5c. The process begins with step 540, in which an update of a block bi is received. In step 542, if block bi is clean, that is, the sequence number of bi is the same as in the parity-consistent image of s, then the process ensures that the contents of block bi are logged to the log storage device. This is accomplished by determining whether the contents of block bi latest are already present on the log storage device and, if not, logging block bi to the log storage device. The parity-consistent value of block bi is denoted bi lastclean. If block bi is not clean, then bi lastclean already exists on the log, as it was logged when the update to the clean block bi was made. In step 544, the process ensures that the received update of block bi is logged to the log storage device, then it writes the received update of block bi to block bi in the storage array. Thus, after the write, both bi latest and bi lastclean will be on one or more logs.
A log-assisted rebuild process, according to the present invention, in which a stripe s is rebuilt after a disk failure, is shown in FIG. 5d. The process begins with step 550, in which a disk failure occurs. In step 552, it is determined whether the disk failure occurred in the parity block of the stripe s being processed. If so, the process continues with step 553, in which the cleaning update process, as shown in FIG. 3, is performed to generate a replacement parity block. If not, the process continues with step 554, in which it is determined whether the stripe is clean. This is done by accessing the dirty stripe bit vector and examining the bit corresponding to stripe s. If the stripe is clean, the process continues with step 566, in which the parity rebuild process is performed.
If the stripe is not clean, the process continues with step 556, in which a value, E, is formed, which is the exclusive-OR of all bi lastclean with all bi latest for all dirty blocks bi in stripe s. For example, if there are three dirty blocks, 1, 3, and 4, then E is formed from:
In step 558, the existing parity block p is read from the storage array. In step 560, the parity block p is bitwise exclusive-ORed with the value E to form a new parity block pnew. In step 562, the new parity block pnew is written back to the storage array. In step 564, the logged blocks for stripe s are discarded and the dirty stripe bit vector is updated to indicate that stripe s is clean. In step 566, a replacement for the failed block is generated using the parity rebuild process shown in FIG. 4.
If a disk failure occurs while a write is occurring to another disk, the present invention completes the disk write before dealing with the disk failure. Thus, this event is treated as though the disk write took place before the disk failure. If a disk failure occurs while a write is occurring to the same disk, the present invention treats the event as though the write had never begun.
If a block bi in stripe s is written to while the parity block p for that stripe is being updated, the parity update is completed before the write occurs. Thus, the written image of block bi is the latest write bi latest and the image when the parity block was updated is bi lastclean.
A stripe is considered clean only after the parity of the stripe has been updated. In general, status updates, such as marking a stripe as clean, must occur only after the underlying disk update has completed. If the updated disk fails after the disk update has completed, but before the status has been updated, a potential status mismatch may occur. However, when a disk fails, the status for that disk is discarded; thus, any potential status mismatch has no effect.
If the parity block of a stripe is updated but a disk fails before the dirty stripe bit vector is updated, the process may be unable to determine which blocks are dirty. Therefore, until the parity write is acknowledged, the disk writes for that stripe are retained in memory. If a disk fails before some writes are acknowledged, then those writes may be repeated from memory.
The present invention requires that every write to a data disk in the storage array be logged to some other non-volatile storage device. Many database systems implement well-known multi-version read consistency. Such systems already store before-images of at least most writes. In addition, many systems store after images of writes. For small updates, the present invention requires that all after images be stored, adding a little overhead. However, for updates that change one or more entire stripes, the present invention does not require the log.
Typically, the major additional overhead required by the present invention is that before-images that represent bi lastclean may need to be maintained longer than they would for the purposes of multi-version read consistency. In the present invention, before-images must be maintained as long as they represent a value of bi lastclean. Thus, each before-image must be stored for as long as it is needed either for multi-version read consistency or for disk failure recovery. After-images must be stored for as long as they represent a value of bi latest. However, this generally creates no additional overhead, because typical database systems store afterimages longer than they are needed for disk recovery purposes.
In order to ensure that both bi lastclean and bi latest are available for every dirty block, it may be necessary to pre-read those blocks that would otherwise be written blindly (i.e. writing to a disk block without having read its contents). If the value bi lastclean of already exists in the log due to previous activity, such as a previous write to block bi, then the pre-read need not occur. Blind writes typically occur due to insert operations; updates and deletes are not normally done blindly.
Unusual failure combinations, such as a simultaneous disk and memory failure, are handled by restoring from backups.
Although a specific embodiment of the present invention has been described, it will be understood by those of skill in the art that there are other embodiments that are equivalent to the described embodiment. Accordingly, it is to be understood that the invention is not to be limited by the specific illustrated embodiment, but only by the scope of the appended claims.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US5634109 *||Jun 20, 1994||May 27, 1997||International Business Machines Corporation||Method and system for enhanced data management efficiency in memory subsystems utilizing redundant arrays of disk memory devices and a nonvolatile cache|
|US5864655 *||Sep 9, 1996||Jan 26, 1999||International Business Machines Corporation||Managing removable media in raid and rail environments|
|US6148368 *||Jul 31, 1997||Nov 14, 2000||Lsi Logic Corporation||Method for accelerating disk array write operations using segmented cache memory and data logging|
|1||Chen et al. "ACM Computing Surveys: RAID High Performance Reliable Secondary Storage" vol. 2, No. 26, Jun. 1994.*|
|2||D. Stodolsky et al., "Parity Logging: Overcoming the Small Write Problem in Redundant Disk Arrays," Proceedings of the Twentieth International Symposium on Computer Architecture, May 1993, pp. 64-75.|
|3||E. Gabber et al., "Data Logging: A Method for Efficient Data Updates in Constantly Active RAIDS," Fourteenth International Conference on Data Engineering, IEEE Computer Society, 1998, pp. 144-153.|
|4||S. Savage et al., "AFRAID-A Frequently Redundant Array of Independent Disks," 1996 USENIX Technical Conference, Jan. 22-26, 1996, San Diego, CA., pp. 27-39.|
|5||S. Savage et al., "AFRAID—A Frequently Redundant Array of Independent Disks," 1996 USENIX Technical Conference, Jan. 22-26, 1996, San Diego, CA., pp. 27-39.|
|Citing Patent||Filing date||Publication date||Applicant||Title|
|US6353895 *||Feb 16, 1999||Mar 5, 2002||Adaptec, Inc.||RAID architecture with two-drive fault tolerance|
|US6513093 *||Aug 11, 1999||Jan 28, 2003||International Business Machines Corporation||High reliability, high performance disk array storage system|
|US6513142 *||Jun 27, 2000||Jan 28, 2003||Adaptec, Inc.||System and method for detecting of unchanged parity data|
|US6928578 *||May 10, 2001||Aug 9, 2005||International Business Machines Corporation||System, method, and computer program for selectable or programmable data consistency checking methodology|
|US6950961 *||Feb 13, 2001||Sep 27, 2005||Hewlett-Packard Development Company, L.P.||Highly available, monotonic increasing sequence number generation|
|US7039661||Dec 29, 2003||May 2, 2006||Veritas Operating Corporation||Coordinated dirty block tracking|
|US7139931||Nov 18, 2002||Nov 21, 2006||Aristos Logic Corporation||Method of controlling the system performance and reliability impact of hard disk drive rebuild|
|US7318116||Nov 8, 2002||Jan 8, 2008||International Business Machines Corporation||Control path failover in an automated data storage library|
|US7370261||May 9, 2005||May 6, 2008||International Business Machines Corporation||Convolution-encoded raid with trellis-decode-rebuild|
|US7401253||May 9, 2005||Jul 15, 2008||International Business Machines Corporation||Convolution-encoded data storage on a redundant array of independent devices|
|US7606841||May 2, 2006||Oct 20, 2009||Symantec Operating Corporation||Coordinated dirty block tracking|
|US8245113||Aug 14, 2012||International Business Machines Corporation||Convolution-encoded RAID with trellis-decode-rebuild|
|US8316259 *||Nov 20, 2012||International Business Machines Corporation||Convolution-encoded data storage on a redundant array of independent devices|
|US8453155||May 28, 2013||At&T Intellectual Property I, L.P.||Method for scheduling updates in a streaming data warehouse|
|US8484506 *||Nov 29, 2008||Jul 9, 2013||Lsi Corporation||Redundant array of independent disks level 5 (RAID 5) with a mirroring functionality|
|US8832356||Feb 11, 2011||Sep 9, 2014||Samsung Electronics Co., Ltd.||Apparatus and method for flash memory address translation|
|US8898673||Apr 29, 2013||Nov 25, 2014||At&T Intellectual Property I, L.P.||Methods, systems, and products for stream warehousing|
|US9170746||Jan 7, 2014||Oct 27, 2015||Netapp, Inc.||Clustered raid assimilation management|
|US9367241||Sep 15, 2015||Jun 14, 2016||Netapp, Inc.||Clustered RAID assimilation management|
|US20020112139 *||Feb 13, 2001||Aug 15, 2002||Krause Michael R.||Highly available, monotonic increasing sequence number generation|
|US20020169995 *||May 10, 2001||Nov 14, 2002||International Business Machines Corporation||System, method, and computer program for selectable or programmable data consistency checking methodology|
|US20030084397 *||Oct 31, 2001||May 1, 2003||Exanet Co.||Apparatus and method for a distributed raid|
|US20040107320 *||Nov 8, 2002||Jun 3, 2004||International Business Machines Corporation||Control path failover in an automated data storage library|
|US20050091452 *||Oct 28, 2003||Apr 28, 2005||Ying Chen||System and method for reducing data loss in disk arrays by establishing data redundancy on demand|
|US20050102552 *||Nov 18, 2002||May 12, 2005||Robert Horn||Method of controlling the system performance and reliability impact of hard disk drive rebuild|
|US20060253766 *||May 9, 2005||Nov 9, 2006||Winarski Daniel J||Convolution-encoded data storage on a redundant array of independent devices|
|US20080209304 *||May 5, 2008||Aug 28, 2008||International Business Machines Corporation||Convolution-Encoded RAID with Trellis-Decode-Rebuild|
|US20080270843 *||Jul 15, 2008||Oct 30, 2008||International Business Machines Corp.||Convolution-encoded data storage on a redundant array of independent devices|
|US20090300282 *||May 30, 2008||Dec 3, 2009||Promise Technology, Inc.||Redundant array of independent disks write recovery system|
|US20100138691 *||Nov 29, 2008||Jun 3, 2010||Ranjan Kumar||Redundant array of independent disks level 5 (raid 5) with a mirroring functionality|
|US20130166991 *||Dec 14, 2012||Jun 27, 2013||Samsung Electronics Co., Ltd.||Non-Volatile Semiconductor Memory Device Using Mats with Error Detection and Correction and Methods of Managing the Same|
|US20150205669 *||Jan 22, 2014||Jul 23, 2015||Netapp, Inc.||File system driven raid rebuild technique|
|U.S. Classification||714/5.1, 714/E11.034, 714/6.32, 714/6.24, 714/6.2|
|Cooperative Classification||G06F2211/1059, G06F11/1076|
|European Classification||G06F11/10R, G06F11/10M|
|Jun 19, 1998||AS||Assignment|
Owner name: AT&T CORP., NEW YORK
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:JOHNSON, THEODORE;REEL/FRAME:009265/0949
Effective date: 19980615
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